1. The persistent-pursuit and evasion strategies of lionfish and their prey
- Author
-
Peterson, Ashley Nichole
- Subjects
Biology ,agent based model ,kinematics ,lionfish ,persistent pursuit ,predator-prey ,Pterois - Abstract
The pursuit of prey is vital to the biology of a predator and many aspects of predatorybehavior are well-studied. However, it is unclear how a pursuit can be effective when theprey is faster than a predator. Using kinematic measurements, we considered the strategyof red lionfish (Pterois volitans) and devil lionfish (Pterois miles) as they pursued a varietyof prey fishes. Despite generally swimming slower than their prey, red lionfish and devillionfish succeeded in capturing prey in 61% and 82% of our experiments. This successfulpursuit behavior was defined by uninterrupted motion and a targeting strategy of pure pursuit,characterized by heading towards the prey’s position and not the anticipated point ofinterception. These characteristics comprise a behavior that we call the ‘persistent-predationstrategy’, which may be exhibited by a diversity of predators with relatively slow locomotion.When encountering lionfish, prey avoidance behavior was variable among species, butwithout a consistency that was predictive of the outcome of an interaction. The couplednature of these interactions challenge the ability to resolve what aspects of performancematter during predator-prey interactions. To address this challenge, we developed a 2Dagent-based mathematical model for a fish predator and an individual prey fish enclosedwithin a circular arena. We parameterized and tested the predictions of this model withexperimental measurements of fish trajectories and performed numerical simulations witha Monte-Carlo approach to predict the trajectories of predator and prey. By manipulatingsingle parameters, we were able to determine the effect that each parameter had on theoutcome of a simulated interaction. We found that metrics related to vigilance and evasionstrategy may be more valuable toward evading a slow predator than maximal measure ofkinematic performance. This method demonstrates the power of agent-based mathematicalmodeling for testing hypotheses about the salient features that determine the outcome ofpredator-prey interactions.
- Published
- 2022